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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Brain signatures of a multiscale process of sequence learning in humans
Maxime Maheu, Stanislas Dehaene, Florent Meyniel
eLife (2019) Vol. 8
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Rotational dynamics reduce interference between sensory and memory representations
Alexandra Libby, Timothy J. Buschman
Nature Neuroscience (2021) Vol. 24, Iss. 5, pp. 715-726
Open Access | Times Cited: 164
Learning hierarchical sequence representations across human cortex and hippocampus
Simon Henin, Nicholas B. Turk‐Browne, Daniel Friedman, et al.
Science Advances (2021) Vol. 7, Iss. 8
Open Access | Times Cited: 136
A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans
Samuel Planton, Timo van Kerkoerle, Leïla Abbih, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 1, pp. e1008598-e1008598
Open Access | Times Cited: 72
Beta oscillations predict the envelope sharpness in a rhythmic beat sequence
Sabine Leske, Tor Endestad, Vegard Volehaugen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A taxonomy of surprise definitions
Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner
Journal of Mathematical Psychology (2022) Vol. 110, pp. 102712-102712
Open Access | Times Cited: 37
Rational arbitration between statistics and rules in human sequence processing
Maxime Maheu, Florent Meyniel, Stanislas Dehaene
Nature Human Behaviour (2022) Vol. 6, Iss. 8, pp. 1087-1103
Open Access | Times Cited: 29
Long-Horizon Associative Learning Explains Human Sensitivity to Statistical and Network Structures in Auditory Sequences
Lucas Benjamin, Mathias Sablé-Meyer, Ana Fló, et al.
Journal of Neuroscience (2024) Vol. 44, Iss. 14, pp. e1369232024-e1369232024
Open Access | Times Cited: 7
Fast adaptation to rule switching using neuronal surprise
Martin Barry, Wulfram Gerstner
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011839-e1011839
Open Access | Times Cited: 6
Neural surprise in somatosensory Bayesian learning
Sam Gijsen, Miro Grundei, Robert Tjarko Lange, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 2, pp. e1008068-e1008068
Open Access | Times Cited: 36
Computational and neural mechanisms of statistical pain learning
Flavia Mancini, Suyi Zhang, Ben Seymour
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 26
Confidence of probabilistic predictions modulates the cortical response to pain
Dounia Mulders, Ben Seymour, André Mouraux, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 4
Open Access | Times Cited: 16
EEG mismatch responses in a multimodal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation, and vision
Miro Grundei, Pia Schröder, Sam Gijsen, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 9, pp. 3644-3668
Open Access | Times Cited: 14
Surprise and novelty in the brain
Alireza Modirshanechi, Sophia Becker, Johanni Brea, et al.
Current Opinion in Neurobiology (2023) Vol. 82, pp. 102758-102758
Open Access | Times Cited: 14
Brain dynamics for confidence-weighted learning
Florent Meyniel
PLoS Computational Biology (2020) Vol. 16, Iss. 6, pp. e1007935-e1007935
Open Access | Times Cited: 38
Pain Control by Co-adaptive Learning in a Brain-Machine Interface
Suyi Zhang, Wako Yoshida, Hiroaki Mano, et al.
Current Biology (2020) Vol. 30, Iss. 20, pp. 3935-3944.e7
Open Access | Times Cited: 35
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making
Xu He, Alireza Modirshanechi, Marco P. Lehmann, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 6, pp. e1009070-e1009070
Open Access | Times Cited: 31
Learning in Volatile Environments With the Bayes Factor Surprise
Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, et al.
Neural Computation (2021) Vol. 33, Iss. 2, pp. 269-340
Open Access | Times Cited: 27
Cortical activity during naturalistic music listening reflects short-range predictions based on long-term experience
P Kern, Micha Heilbron, Floris P. de Lange, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 20
Direct brain recordings reveal implicit encoding of structure in random auditory streams
Julian Fuhrer, Kyrre Glette, Jugoslav Ivanović, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Tracking the implicit acquisition of nonadjacent transitional probabilities by ERPs
Andrea Kóbor, Kata Horváth, Zsófia Kardos, et al.
Memory & Cognition (2019) Vol. 47, Iss. 8, pp. 1546-1566
Open Access | Times Cited: 32
Perceiving structure in unstructured stimuli: Implicitly acquired prior knowledge impacts the processing of unpredictable transitional probabilities
Andrea Kóbor, Kata Horváth, Zsófia Kardos, et al.
Cognition (2020) Vol. 205, pp. 104413-104413
Open Access | Times Cited: 31
Visual mismatch responses index surprise signalling but not expectation suppression
Daniel Feuerriegel, Jane Yook, Genevieve L. Quek, et al.
Cortex (2020) Vol. 134, pp. 16-29
Open Access | Times Cited: 28
Brain-imaging evidence for compression of binary sound sequences in human memory
Fosca Al Roumi, Samuel Planton, Liping Wang, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 10
Parallel mechanisms signal a hierarchy of sequence structure violations in the auditory cortex
Sara Jamali, Sophie Bagur, Enora Brémont, et al.
eLife (2024) Vol. 13
Open Access | Times Cited: 3
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions
Byron H. Price, Jeffrey P. Gavornik
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 15
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